##### RAG + LLMs

## Explain and Evaluate RAG/LLMs

Howso connects directly to the source data and operates as the ground truth in a RAG or LLM system.

## Go beyond explaining AI. Prove it.

## Step #1

LLM is fine-tuned or used in a RAG process.

## Step #2

The data used for LLM fine tuning or in the RAG process is loaded into Howso.

## Step #3

As each LLM query is made, Howso compares the result to the original data.

## Step #4

Howso calculates the probability that the prediction was made using your data versus pretrained weights, giving exact attribution for what parts appear to be inferred from your data.

## Step #5

Additional debugging can be performed in areas of hallucination. For example, if Howso reports that the documents used in inference appear to be different than what was used in a RAG process, it is more likely that the results are a hallucination. This can lead to automatic remediation or raise an issue for additional system tuning.

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## Maximize AI/ML ROI with RAG.